Focus on “operational footprint”

Over the past year, AVEVA achieved four of its 15 2025 ESG targets, including a 93 percent reduction in Scope 1 and Scope 2 emissions through a series of measures. At the same time, the company has initiated an internal carbon budget to further maintain and promote carbon reduction levels in the future.

In addition, by including e-waste data in the company’s discharge inventory under the waste category, the 2025 target of “moving 5 tonnes of e-waste out of landfills” was exceeded last year by 22.75 tonnes.

DSPU131 From the foundation of results to increased awareness, AVEVA has done a lot of experimentation and exploration in promoting circularity across the business, and has made some positive progress.

# PART 03

Building an “inclusive culture”

As part of its key ‘Culture of Inclusion’ campaign, AVEVA is committed to creating a work environment where all employees feel included, dignified and respected.

AVEVA significantly increased its gender representation in 2023, with women making up 39.9% of new hires, 29% of managers and 26.5% of leadership globally, and has achieved its goal of reducing the gender pay gap to less than 1%.

In addition, AVEVA demonstrated its commitment to society by donating £310,000 to causes supported by the global community of employees.

Cui Jingyi said, “As a global advocate, practitioner and enabler of sustainability, AVEVA is committed to empowering customers with complete industrial software solutions to improve energy efficiency, achieve recycling, traceability and enhance operational resilience to achieve sustainability. In the future, AVEVA will continue to empower more ecosystem partners with innovative digital solutions and sustainable practices to fulfill their commitments along the entire value chain for a net-zero world.”

The rapid development of generative artificial intelligence in the past two years has expanded new possibilities for the development path of industry.

The characteristics of the industrial sector impose strict requirements on product accuracy, which means an extremely low fault tolerance rate. Therefore, only by constantly training artificial intelligence through a huge amount of data can accurate results be presented. The first requirement is “how to train AI to grow rapidly by providing complete industrial data in both time and space dimensions.”

AVEVA launched Fabric, an AI assistant for industry in partnership with Microsoft at the Hannover MESse in Germany in April, and AVEVA Connect, a cloud product currently being actively promoted, are some of the most recent achievements in AI applications.

DSPU131 In fact, AVEVA has been in the field of artificial intelligence for nearly two decades, going back to the early days, AVEVA Predictive Analytics predictive maintenance, leveraging machine learning advanced pattern recognition, combined with artificial intelligence neural network optimization, to provide software services to enterprises.

Petronas saved US $17.4mil (RM73.1mil) in the first year by reducing 51 unplanned outages through AI prediction after the system went live, 12 of which were considered high-risk, and adding real-time optimization simulation data online enabled comprehensive and accurate performance evaluation and monitoring of plant processes and key assets.

At the same time, in the field of design, AVEVA has introduced generative AI (GenAI) technology in the engineering 3D design software E3D, which users can access directly from the AVEVA E3D design user interface (UI) to achieve automatic pipeline layout during the (Pre) FEED stage.

E3D also uses predictive AI technology. Taking stent selection as an example, by establishing an AI model and training the model with the design data of several historical similar petrochemical devices, the efficiency is improved by 10 times. A medium-sized device has about 6,000 hosting brackets, and just one small AI application can save 10 man-days of work for a single device.

In addition, conversational AI is also in the development plan, at last year’s AVEVA World global user conference, AVEVA demonstrated a conversational generative AI assistant, relying on a large language model interface, users can directly ask questions within the software interface, or with the help of common prompts, to perform 3D modeling tasks.

AVEVA also launched the “AVEVA E3D AI Exploration Program”, which aims to invite Chinese E3D users to explore cutting-edge AI technologies together. “We will focus on business pain points based on users’ real scenarios and data, explore to promote the rapid landing of artificial intelligence technology, and help customers solve more practical problems.”

Cui Jingyi said, “For AVEVA, we already have a strong design platform, what we are doing is to inject artificial intelligence into our products, combining the customer’s accumulated data and experience with AI, to create a design platform for customers that is smarter and more adaptable to future needs.”

Not only in the engineering design and equipment end, but also in the process end, AVEVA has carried out pioneering exploration of the application of artificial intelligence, and introduced the concept of “real-time online optimization based on strict mechanism of reactor model” in China for the first time, using artificial intelligence to assist real-time online optimization, and accumulated rich practical experience.

Cui Jingyi believes that “the role of artificial intelligence in the industrial industry is more like a catalyst for transformation, and AVEVA is committed to consolidating the foundation of transformation, grasping the acquisition, collection and storage of data, combing out the data in a structured way with context, promoting the growth and iteration of artificial intelligence, so as to play a greater value in the process of digital transformation.”